Browsing by Author "Pagna Disso, Jules"

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    Similarity hash based scoring of portable executable files for efficient malware detection in IoT
    (Future Generation Computer Systems, 2020) Namanya, Anitta Patience; Awan, Irfan U.; Pagna Disso, Jules; Younas, Muhammad
    The current rise in malicious attacks shows that existing security systems are bypassed by malicious files. Similarity hashing has been adopted for sample triaging in malware analysis and detection. File similarity is used to cluster malware into families such that their common signature can be designed. This paper explores four hash types currently used in malware analysis for portable executable (PE) files. Although each hashing technique produces interesting results, when applied independently, they have high false detection rates. This paper investigates into a central issue of how different hashing techniques can be combined to provide a quantitative malware score and to achieve better detection rates. We design and develop a novel approach for malware scoring based on the hashes results. The proposed approach is evaluated through a number of experiments. Evaluation clearly demonstrates a significant improvement (> 90%) in true detection rates of malware.
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    The World of Malware: An Overview
    (IEEE, 2018) Namanya, Anitta Patience; Cullen, Andrea; Awan, Irfan U.; Pagna Disso, Jules
    Malware, short for malicious software is a program code that is hostile and often used to corrupt or misuse a system. Introducing malware into a computer network environment has different effects depending on the design intent of the malware and the network layout. Malware detection and prevention systems are bypassed by malicious files in computer systems as malware become more complex and large in numbers. This paper presents an overview of the world of malware with the intent of providing the underlying information for the intended study into developing malware detection approaches.